Course content
Business intelligence refers to technologies, applications and practices for the collection, integration, analysis, and presentation of business data in order to support business decision making. Essentially, it is a collection of data-driven decision support models. This course teaches students analytical skills on data to support decision making and evaluation in business. It uses a combination of lectures and workshops. The course emphasizes the practical applications and makes extensive use of R for intelligent business analytics.
Preliminary assignment: A small assignment (with several questions)
Session 1 Introduction
Session 2 Understanding business data
Session 3 Descriptive analytics
Session 4 Efficient data manipulation in R
Session 5 Regression methods (for sales or price forecasting, etc.)
Feedback activity: A small assignment (with several questions)
Session 6 Classification methods (for fraud detection, customer engagement analysis, consumer segmentation, etc.)
Session 7 Data pre-processing, model training and evaluation
Session 8 Cluster analysis (for consumer segmentation, etc.)
Session 9 Text processing with R (e.g., string operations, regular expression)
Session 10 Sentiment analysis and topic modelling
See course description in course catalogue